Methods and systems for monitoring mobile communication terminals. A correlation system selects candidate communication terminals to be monitored, and then attempts to identify whether the candidate terminals are indeed operated by target users. Following successful correlation of a candidate terminal with a target user, various surveillance actions can be performed with respect to the terminal. Correlation of candidate communication terminals with target users is based on identification of speech key-phrases. When evaluating a given candidate terminal, the system analyzes speech that is communicated via the candidate terminal and attempts to detect one or more of the speech key-phrases in the analyzed speech.
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1. A method, comprising: maintaining a list of target users of a communication network and respective speech phrases that are characteristic of the target users; selecting a plurality of candidate communication terminals from among multiple communication terminals in the communication network based on a selection criterion; analyzing speech that is communicated via the candidate communication terminals, so as to identify one or more of the speech phrases in the speech; and correlating one of the candidate communication terminals with a target user who is associated in the list with the identified speech phrases.
A system monitors communication terminals on a network. It maintains a database of target users and their characteristic speech phrases. The system selects several candidate communication terminals from the network based on criteria like location or recent activity. It analyzes speech from these terminals, identifying speech phrases from the database. If a match is found between speech from a terminal and a target user's phrase, the system correlates the terminal with that user, enabling monitoring or surveillance of that specific terminal.
2. The method according to claim 1 , wherein selecting the candidate communication terminals using the selection criterion comprises choosing one or more communication terminals that were not used previously in the communication network.
Building upon the method described for monitoring communication terminals by identifying speech phrases, the selection of candidate terminals specifically includes choosing terminals that are completely new to the network, meaning terminals that have not been previously used. This focuses the monitoring efforts on potentially unknown or newly activated devices within the communication system.
3. The method according to claim 1 , wherein selecting the candidate communication terminals using the selection criterion comprises choosing communication terminals that were not used in the communication network for at least a predefined time period.
In the method for monitoring communication terminals by identifying speech phrases, the selection of candidate terminals includes choosing terminals that haven't been used on the network for a specified amount of time. This predefined time period acts as a filter, focusing monitoring efforts on devices that have been inactive but are now potentially being used again.
4. The method according to claim 1 , wherein selecting the candidate communication terminals using the selection criterion comprises choosing communication terminals that are located in a predefined geographical area.
In the method for monitoring communication terminals by identifying speech phrases, the selection of candidate terminals focuses on devices located within a specific geographic area. The system uses location data to narrow down the pool of terminals to those operating within the predefined geographical boundaries, allowing for geographically targeted monitoring.
5. The method according to claim 1 , wherein selecting the candidate communication terminals using the selection criterion comprises choosing communication terminals that communicate with one or more predefined communication terminals.
Within the method of monitoring communication terminals using speech phrase detection, the selection of candidate terminals is based on their communication patterns. The system prioritizes terminals that are communicating with one or more predefined, specific communication terminals. This identifies devices potentially associated with known entities of interest.
6. The method according to claim 1 , and comprising reporting the correlated one of the candidate communication terminals and the associated target user, so as to invoke surveillance on the one of the candidate communication terminals.
The method for monitoring communication terminals through speech phrase identification includes a reporting mechanism. Once a candidate terminal is successfully correlated with a target user based on speech phrase matching, the system reports this correlation, triggering surveillance actions specifically on that identified communication terminal.
7. The method according to claim 1 , wherein selecting the candidate communication terminals using the selection criterion comprises receiving from the communication network information relating to voice calls conducted in the network, and choosing the candidate communication terminals based on the received information.
Complementing the speech-phrase-based communication terminal monitoring, the selection of candidate terminals involves leveraging voice call data. The system receives information from the communication network about calls made, and utilizes this data to determine which terminals to monitor, improving efficiency by prioritizing active or relevant terminals.
8. The method according to claim 7 , wherein receiving the information comprises receiving identifiers of at least some of the multiple communication terminals, and applying the selection criterion to the identifiers.
Expanding on the method utilizing voice call data for communication terminal monitoring, the system receives identifiers (IDs) of communication terminals during voice calls. The selection criteria for identifying candidate terminals are then applied directly to these terminal identifiers, streamlining the selection process and focusing analysis on relevant devices.
9. The method according to claim 1 , wherein a given speech phrase comprises two or more words that are not contiguous in time.
In the speech-phrase-based communication terminal monitoring method, a "speech phrase" is defined as not necessarily consisting of consecutive words. A phrase can consist of two or more words that are separated by other words or pauses in the speech, allowing for more flexible and accurate matching of speech patterns.
10. The method according to claim 1 , wherein maintaining the list comprises automatically extracting one or more of the speech phrases for a given target user from recorded speech of the given target user.
Within the speech-phrase-based communication terminal monitoring method, the database of target users and speech phrases is dynamically updated. The system automatically extracts characteristic speech phrases for a given target user by analyzing previously recorded speech samples of that user, creating a self-learning and adaptive monitoring system.
11. Apparatus, comprising: a memory, which is configured to hold a list of target users of a communication network and respective speech phrases that are characteristic of the target users; and a processor, which is configured to maintain the list in the memory, to select a plurality of candidate communication terminals from among multiple communication terminals in the communication network based on a selection criterion, to analyze speech that is communicated via the candidate communication terminals so as to identify one or more of the speech phrases in the speech, and to correlate one of the candidate communication terminals with a target user who is associated in the list with the identified speech phrases.
An apparatus monitors communication terminals. It has a memory storing target users and their characteristic speech phrases. A processor maintains this list, selects candidate terminals based on criteria, analyzes their speech for matching phrases, and correlates a terminal with a user when a phrase match is found. This correlation enables further actions like surveillance on that specific terminal.
12. The apparatus according to claim 11 , wherein the processor is configured to select the candidate communication terminals using the selection criterion by choosing one or more communication terminals that were not used previously in the communication network.
Building upon the apparatus described for monitoring communication terminals by identifying speech phrases, the selection of candidate terminals specifically includes choosing terminals that are completely new to the network, meaning terminals that have not been previously used. This focuses the monitoring efforts on potentially unknown or newly activated devices within the communication system.
13. The apparatus according to claim 11 , wherein the processor is configured to select the candidate communication terminals using the selection criterion by choosing communication terminals that were not used in the communication network for at least a predefined time period.
In the apparatus for monitoring communication terminals by identifying speech phrases, the selection of candidate terminals includes choosing terminals that haven't been used on the network for a specified amount of time. This predefined time period acts as a filter, focusing monitoring efforts on devices that have been inactive but are now potentially being used again.
14. The apparatus according to claim 11 , wherein the processor is configured to select the candidate communication terminals using the selection criterion by choosing communication terminals that are located in a predefined geographical area.
In the apparatus for monitoring communication terminals by identifying speech phrases, the selection of candidate terminals focuses on devices located within a specific geographic area. The system uses location data to narrow down the pool of terminals to those operating within the predefined geographical boundaries, allowing for geographically targeted monitoring.
15. The apparatus according to claim 11 , wherein the processor is configured to select the candidate communication terminals using the selection criterion by choosing communication terminals that communicate with one or more predefined communication terminals.
Within the apparatus of monitoring communication terminals using speech phrase detection, the selection of candidate terminals is based on their communication patterns. The system prioritizes terminals that are communicating with one or more predefined, specific communication terminals. This identifies devices potentially associated with known entities of interest.
16. The apparatus according to claim 11 , wherein the processor is configured to report the correlated one of the candidate communication terminals and the associated target user, so as to invoke surveillance on the one of the candidate communication terminals.
The apparatus for monitoring communication terminals through speech phrase identification includes a reporting mechanism. Once a candidate terminal is successfully correlated with a target user based on speech phrase matching, the system reports this correlation, triggering surveillance actions specifically on that identified communication terminal.
17. The apparatus according to claim 11 , wherein the processor is configured to receive from the communication network information relating to voice calls conducted in the network, and to choose the candidate communication terminals based on the received information.
Complementing the speech-phrase-based communication terminal monitoring apparatus, the selection of candidate terminals involves leveraging voice call data. The system receives information from the communication network about calls made, and utilizes this data to determine which terminals to monitor, improving efficiency by prioritizing active or relevant terminals.
18. The apparatus according to claim 17 , wherein the information comprises identifiers of at least some of the multiple communication terminals, and wherein the processor is configured to apply the selection criterion to the identifiers.
Expanding on the apparatus utilizing voice call data for communication terminal monitoring, the system receives identifiers (IDs) of communication terminals during voice calls. The selection criteria for identifying candidate terminals are then applied directly to these terminal identifiers, streamlining the selection process and focusing analysis on relevant devices.
19. The apparatus according to claim 11 , wherein a given speech phrase comprises two or more words that are not contiguous in time.
In the speech-phrase-based communication terminal monitoring apparatus, a "speech phrase" is defined as not necessarily consisting of consecutive words. A phrase can consist of two or more words that are separated by other words or pauses in the speech, allowing for more flexible and accurate matching of speech patterns.
20. The apparatus according to claim 11 , wherein the processor is configured to automatically extract one or more of the speech phrases for a given target user from recorded speech of the given target user.
Within the speech-phrase-based communication terminal monitoring apparatus, the database of target users and speech phrases is dynamically updated. The system automatically extracts characteristic speech phrases for a given target user by analyzing previously recorded speech samples of that user, creating a self-learning and adaptive monitoring system.
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January 25, 2012
July 9, 2013
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